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A Practical Approach to Metadata Management Mark Jessop Prof. Jim Austin University of York

A Practical Approach to Metadata Management Mark Jessop Prof. Jim Austin University of York. Introduction. Follow on from DAME/Broaden (York) Neuroscience Domain Aims to promote collaboration and enable sharing of resources: Data, Analysis

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A Practical Approach to Metadata Management Mark Jessop Prof. Jim Austin University of York

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  1. A Practical Approach to Metadata ManagementMark JessopProf. Jim AustinUniversity of York

  2. Introduction • Follow on from DAME/Broaden (York) • Neuroscience Domain • Aims to promote collaboration and enable sharing of resources: Data, Analysis • Online Portal to store Data, Analysis Code, Experimental protocols. • Current deployment: Upload and annotate experimental data and apply security, search across data, analyse with services, share and download. • Working on workflows and a common data format.

  3. x x x x x e - Neuroscience • Neuroscience at start of e-science journey. • Proprietary data formats. • Private Local data. • Primitive data annotation (Metadata). • Desktop tools. A: Neuro-Scientists B: Computer-Scientists B A

  4. Metadata • Metadata is essential to allow resource discovery, interpretation, evaluation and re-use. • Resources (Data, Services, Workflows) must be adequately annotated. • Metadata needs to searchable. • Metadata needs to be viewable!

  5. Managing Metadata • Comprehensive Metadata definition provided for each resource type. • Electrophysiology data described by the MINI. • Based on FuGE object model (Materials, Data, Protocols). • Services described by MIAOWS.

  6. Metadata Systems • Symba data archive tool integrated into CARMEN. • Implements FuGE-OM. • Early in development program. • User trials revealed problems. • Form complexity. • Response times.

  7. Metadata Systems Take 2 • Revisit Requirements • Capture Mini Schema. • Must be responsive. • Must be simple to use. • Must be able to re-use metadata. • System built based on forms. • Generic metadata storage. • Search across schemas.

  8. Implementation • Form/Schema designer generates XML description of forms and schema. • XML schema stored in a database. • Portal requests XML which is used to generate input forms or to display existing metadata.

  9. Were we Successful? • Some users complete the full document. • Some users complete enough to facilitate searching. • Templates are widely used. • Many users re-use complete templates resulting in repeated metadata.

  10. Metadata for Services • Combine WSDL and user metadata to describe services. • Generate invocation forms from metadata. • Default parameters. • Validation. • Search on function. • Metadata applied to Service output. • Provenance. • Re-use.

  11. Future Work • Ontologies. • Organisation of metadata – prevent repeats. • Smarter templates. • Ways to encourage completion of full metadata.

  12. CARMEN Consortium www.carmen.org.uk Demos on White Rose Grid Stand 15:00.

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